Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Training optimizer"'
Publikováno v:
Gong-kuang zidonghua, Vol 49, Iss 12, Pp 25-32 (2023)
Currently, research on neural network-based gas emission prediction models mainly focuses on the performance of gas emission problems, with less attention and improvement on the optimizer properties in model training. The training of gas emission pre
Externí odkaz:
https://doaj.org/article/c2f036ca34ed4f2ab2ad9f1b049dd5da
Autor:
B. Vigneshwaran, R.V. Maheswari, L. Kalaivani, Vimal Shanmuganathan, Seungmin Rho, Seifedine Kadry, Mi Young Lee
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 7878-7889 (2021)
This paper portrays the application of a Partial Discharge (PD) signal combined with the dual-input VGG Convolution Neural Network (CNN) to predict the location of the pollution layer on 11 kV polymer insulators subjected to alternating current for s
Externí odkaz:
https://doaj.org/article/db1f6ec7a0df4bef991a0e487ca9daf5
Autor:
L. Kalaivani, R. V. Maheswari, Vimal Shanmuganathan, B. Vigneshwaran, Seungmin Rho, Mi Young Lee, Seifedine Kadry
Publikováno v:
Energy Reports, Vol 7, Iss, Pp 7878-7889 (2021)
This paper portrays the application of a Partial Discharge (PD) signal combined with the dual-input VGG Convolution Neural Network (CNN) to predict the location of the pollution layer on 11 kV polymer insulators subjected to alternating current for s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::105187df7053d1255c6ad02be11178eb
https://doi.org/10.1016/j.egyr.2020.12.044
https://doi.org/10.1016/j.egyr.2020.12.044
Akademický článek
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